A Game Theory Based Approach for Power Efficient Vehicular Ad Hoc Networks

Hua, Kun; Xing, Liudong; Chen, Zheyi; Liu, Mingyue

doi:10.1155/2017/9423534

Cited by 10 publications

(11 citation statements)

References 38 publications

(54 reference statements)

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“…The nonuniformity of the business distribution in the spatial dimension was considered, but these studies did not analyze the variability of the business distribution in the time dimension, although this feature will also significantly affect the network energy consumption [132], [135]- [137]. Hua et al investigated the throughput and transmission delay performances for realtime and delay sensitive services through a repeated game theoretic solution [199].…”

Section: ) Energy Efficiency Management Methodsmentioning

confidence: 99%

Emerging Technologies for 5G-Enabled Vehicular Networks

Yang

Hua

2019

IEEE Access

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Internet of Vehicles is a specific application of Internet of Things technology in intelligent transportation systems, and has attracted attention of relevant research institutions, automobile manufacturers and communication technology suppliers all over the world. The US government has spent hundreds of millions of dollars on DSRC development, which is a technology that can help achieve V2V and V2I communications, and enable vehicles to communicate with intelligent traffic lights to mitigate traffic congestion and accidents or bad weather on the road. Automakers such as GM and Toyota have well deployed Wi-Fi-based DSRC technology. But with the continuous development of 5G and D2D communications, cellular technology tends to be a strong candidate for V2X communications..Although 5G communication technology does not yet have a unified standard, its related concepts and trends have been recognized by industry area. Automobile manufacturers represented by Ford and BMW expect to achieve a leap in automotive networking through 5G. In the face of the 5G era, the dispute between DSRC and LTE standards has become a hot topic in the field of car networking. DSRC, a dedicated short-range communication developed and tested by automotive technology suppliers is under threat, and the next generation of 5G technology might be the final answer. Based on this point, this paper firstly introduces the development history of the Internet of Vehicles communication standard, and analyzes the advantages and disadvantages of DSRC and cellular network communication technology. Then, the three core elements of the Internet of Vehicles (Node Performance, local Network, and Internet of Things) are discussed for the development trend of vehicle networking communication technology in the context of 5G. Finally, this chapter explains the impact of the development of 5G communication technology on the future development of vehicle networking, and proposes the possible development directions of future vehicle networking technologies. INDEX TERMS Intelligent transportation systems, vehicular and wireless technologies, Internet of Things, 5G, DSRC, SDN, mobile cloud computing, mobile edge computing. NOMENCLATURE Abbreviations Full name 3G magnetic flux 4G 3rd Generation 5G fifth-generation 5G-VANET 5G enabled vehicular ad hoc network AB Automotive Brain AHS Advanced Highway System AHS Automated Highway System The associate editor coordinating the review of this manuscript and approving it for publication was Zhen Ling.

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Section: ) Energy Efficiency Management Methodsmentioning

confidence: 99%

Emerging Technologies for 5G-Enabled Vehicular Networks

Yang

Hua

2019

IEEE Access

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“…In this subsection, NE is firstly given in Definition 1. Because the non-cooperative game can be easily defined by the formally structure, it has been widely used for solving the conflict problems resulted from restricted resources among selfish players in VNs, such as security protection [64], [65], privacy preserving [66], [67], trust management [139], [140], routing optimization [68]- [74], MAC access [75]- [78], power control [72], [73], [79], [80], in VEC [81]- [87], or HetNET [88], [89], or UAV networks [90], [91]. However, the non-cooperative game is characterized by a drawback of the absence of learning or interaction among players.…”

Section: Game Theoretical Modelsmentioning

confidence: 99%

“…• MAC access [75]- [78] • Ppower control [72], [73], [79], [80] • VEC [81]- [87] • HetNET [88], [89] • UAV networks [90], [ • Form clusters to detect or prevent misbehavior nodes [119]- [122] • Cluster-based routing [71], [123], [124] • Resource allocation or sharing [125]- [128] √ √ √ √…”

Section: Nementioning

confidence: 99%

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Applications of Game Theory in Vehicular Networks: A Survey

Sun

Liu²,

Wang

et al. 2021

IEEE Commun. Surv. Tutorials

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In the Internet of Things (IoT) era, vehicles and other intelligent components in an intelligent transportation system (ITS) are connected, forming Vehicular Networks (VNs) that provide efficient and secure traffic and ubiquitous access to various applications. However, as the number of nodes in ITS increases, it is challenging to satisfy a varied and large number of service requests with different Quality of Service (QoS) and security requirements in highly dynamic VNs. Intelligent nodes in VNs can compete or cooperate for limited network resources to achieve either an individual or a group's objectives. Game Theory (GT), a theoretical framework designed for strategic interactions among rational decision-makers sharing scarce resources, can be used to model and analyze individual or group behaviors of communicating entities in VNs. This paper primarily surveys the recent developments of GT in solving various challenges of VNs. This survey starts with an introduction to the background of VNs. A review of GT models studied in the VNs is then introduced, including its basic concepts, classifications, and applicable vehicular issues. After discussing the requirements of VNs and the motivation of using GT, a comprehensive literature review on GT applications in dealing with the challenges of current VNs is provided. Furthermore, recent contributions of GT to VNs integrating with diverse emerging 5G technologies are surveyed. Finally, the lessons learned are given, and several key research challenges and possible solutions for applying GT in VNs are outlined.

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“…Focus of the study Çeker et al [16] Modeled with a similar approach that uses game theory and provides the option of disguising a real system as a honeypot (or vice versa) to mitigate denial of service (DoS) attacks Hichem et al [17] Proposed a game theoretic technique to activate anomaly detection technique only when a new attack's signature is expected to occur Aaron et al [18] To increase the uncertainty of adversarial reconnaissance and introduced a novel game theoretic model of deceptive interactions between a defender and a cyber-attacker into responses to network scans or reconnaissance Somdip [19] Proposed a methodology in which game theory can be used to model the activity of stakeholders in the networks to detect anomalies such as collusion by using a supervised machine learning algorithm and algorithmic game theory Pawlick and Zhu [20] Investigated a model of signaling games in which the receiver can detect deception with a specified probability Kun et al [21] Employed Nash equilibrium in the noncooperative game model and analyzes its efficiency in vehicular ad hoc networks 3 Wireless Communications and Mobile Computing is the private information, which determined by the defensive action that is taken; the type of attacker Θ A = ðη j jj = 1, 2,⋯nÞ is the private information of the attacker, which is determined by the attack action that is taken.…”

Section: Authormentioning

confidence: 99%

A Novel Attack-and-Defense Signaling Game for Optimal Deceptive Defense Strategy Choice

Zhang

Guo

et al. 2020

Wireless Communications and Mobile Computing

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Increasingly, more administrators (defenders) are using defense strategies with deception such as honeypots to improve the IoT network security in response to attacks. Using game theory, the signaling game is leveraged to describe the confrontation between attacks and defenses. However, the traditional approach focuses only on the defender; the analysis from the attacker side is ignored. Moreover, insufficient analysis has been conducted on the optimal defense strategy with deception when the model is established with the signaling game. In our work, the signaling game model is extended to a novel two-way signaling game model to describe the game from the perspectives of both the defender and the attacker. First, the improved model is formally defined, and an algorithm is proposed for identifying the refined Bayesian equilibrium. Then, according to the calculated benefits, optimal strategies choice for both the attacker and the defender in the game are analyzed. Last, a simulation is conducted to evaluate the performance of the proposed model and to demonstrate that the defense strategy with deception is optimal for the defender.

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A Game Theory Based Approach for Power Efficient Vehicular Ad Hoc Networks

Cited by 10 publications

References 38 publications

Emerging Technologies for 5G-Enabled Vehicular Networks

Emerging Technologies for 5G-Enabled Vehicular Networks

Applications of Game Theory in Vehicular Networks: A Survey

A Novel Attack-and-Defense Signaling Game for Optimal Deceptive Defense Strategy Choice

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